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Updated: Sep 1, 2025

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
Fabio Alves1, Renato Rabelo1, Gamani Karunasiri1
1Department of Physics, Naval Postgraduate School, Monterey, CA 93943, USA.
This study presents a novel microelectromechanical systems (MEMS) directional sensor inspired by the Ormia ochracea fly. It achieves high signal-to-noise ratio and selectable frequency responses for diverse applications.
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